IoT devices and applications are becoming a pervasive technology which involves many aspects of people’s everyday life. As such, their use raises critical issues related to the safety, privacy, and security of the data they operate on. In this setting, a very important concern regards the accountability of IoT devices with respect to the processing activities they execute while interacting with other systems, e.g., during the enactment of complex, cross-organization business processes. Two key issues toward the achievement of accountable interactions are (i) the ability to reliably authenticate and identify the involved parties and (ii) the traceability of the executed operations. Such aspects can be dealt with by means of the integration of physically unclonable functions (PUFs) technologies, exploited for the digital identification of IoT devices, with a DLT-based solution, devised to track interactions among heterogeneous systems. We describe the architecture of the proposed infrastructure which relies on state-of-the-art blockchain technologies which are the basis of Decentralized Autonomous Organizations (DAO).
Accountability of IoT Devices
Furfaro, Angelo
;Felicetti, Carmelo;Saccà, Domenico;Crupi, Felice
2023-01-01
Abstract
IoT devices and applications are becoming a pervasive technology which involves many aspects of people’s everyday life. As such, their use raises critical issues related to the safety, privacy, and security of the data they operate on. In this setting, a very important concern regards the accountability of IoT devices with respect to the processing activities they execute while interacting with other systems, e.g., during the enactment of complex, cross-organization business processes. Two key issues toward the achievement of accountable interactions are (i) the ability to reliably authenticate and identify the involved parties and (ii) the traceability of the executed operations. Such aspects can be dealt with by means of the integration of physically unclonable functions (PUFs) technologies, exploited for the digital identification of IoT devices, with a DLT-based solution, devised to track interactions among heterogeneous systems. We describe the architecture of the proposed infrastructure which relies on state-of-the-art blockchain technologies which are the basis of Decentralized Autonomous Organizations (DAO).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.